Data Driven Methods for Civil Structural Health Monitoring and Resilience : Latest Developments and Applications Hardback
Edited by Mohammad (California Polytechnic State University San Luis Obispo, USA) Noori, Carlo Rainieri, Marco Domaneschi, Vasilis (University of Leeds, UK) Sarhosis
Part of the Resilience and Sustainability in Civil, Mechanical, Aerospace and Manufacturing Engineering Systems series
Hardback
Description
Data Driven Methods for Civil Structural Health Monitoring and Resilience: Latest Developments and Applications provides a comprehensive overview of data-driven methods for structural health monitoring (SHM) and resilience of civil engineering structures, mostly based on artificial intelligence or other advanced data science techniques.
This allows existing structures to be turned into smart structures, thereby allowing them to provide intelligible information about their state of health and performance on a continuous, relatively real-time basis.
Artificial-intelligence-based methodologies are becoming increasingly more attractive for civil engineering and SHM applications; machine learning and deep learning methods can be applied and further developed to transform the available data into valuable information for engineers and decision makers.
Information
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Out of stock
- Format:Hardback
- Pages:342 pages, 27 Tables, black and white; 191 Line drawings, black and white; 46 Halftones, black and w
- Publisher:Taylor & Francis Ltd
- Publication Date:15/10/2023
- Category:
- ISBN:9781032308371
Information
-
Out of stock
- Format:Hardback
- Pages:342 pages, 27 Tables, black and white; 191 Line drawings, black and white; 46 Halftones, black and w
- Publisher:Taylor & Francis Ltd
- Publication Date:15/10/2023
- Category:
- ISBN:9781032308371
